Research
Research Interests
My research is of interdisciplinary nature and includes:
- Statistical machine learning and data science (graph- and network-based
learning, imbalanced classification);
- Random geometric graphs (Proximity Catch Digraphs (PCDs), their
construction and characterization, domination, edge and arc density);
- Network optimization and traversal (in relation to Stochastic Obstacle
Scene Problem and Canadian Traveler's Problem);
- Spatial point pattern and data analysis (by nearest neighbor and graph
theoretic (i.e. PCD) methods) and their applications;
- Statistical Methods for Medical Data and Image Analysis.